Technical Program
MLSP-L3: Deep Learning II |
| Session Type: Lecture |
| Time: Wednesday, March 8, 08:30 - 10:30 |
| Location: Grand Salon 3 |
| Session Chair: David J. Miller, The Pennsylvania State University |
| MLSP-L3.1: PART-LEVEL FULLY CONVOLUTIONAL NETWORKS FOR PEDESTRIAN DETECTION |
| Xinran Wang; Xidian University |
| Cheolkon Jung; Xidian University |
| Alfred O. Hero; University of Michigan |
| MLSP-L3.2: LEARNING TO INVERT: SIGNAL RECOVERY VIA DEEP CONVOLUTIONAL NETWORKS |
| Ali Mousavi; Rice University |
| Richard Baraniuk; Rice University |
| MLSP-L3.3: STRUCTURED DROPOUT FOR WEAK LABEL AND MULTI-INSTANCE LEARNING AND ITS APPLICATION TO SCORE-INFORMED SOURCE SEPARATION |
| Sebastian Ewert; Queen Mary University of London |
| Mark B. Sandler; Queen Mary University of London |
| MLSP-L3.4: HARNESSING NEURAL NETWORKS: A RANDOM MATRIX APPROACH |
| Cosme Louart; CentraleSupélec |
| Romain Couillet; CentraleSupélec |
| MLSP-L3.5: TRAINING VARIANCE AND PERFORMANCE EVALUATION OF NEURAL NETWORKS IN SPEECH |
| Ewout van den Berg; IBM Watson Group |
| Bhuvana Ramabhadran; IBM Watson Group |
| Michael Picheny; IBM Watson Group |
| MLSP-L3.6: A DEEP LEARNING APPROACH TO MULTIPLE KERNEL FUSION |
| Huan Song; Arizona State University |
| Jayaraman J. Thiagarajan; Lawrence Livermore National Labs |
| Prasanna Sattigeri; IBM T.J. Watson Research Center |
| Karthikeyan Natesan Ramamurthy; IBM T.J. Watson Research Center |
| Andreas Spanias; Arizona State University |